977 resultados para Panicum maximum jacq


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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Uma condição com aumento da fenda bucal de eqüinos por lesão na comissura labial foi estudada. Este aumento tinha extensão variável e era uni ou bilateral. Na mucosa da bochecha da comissura labial exposta havia pequenas erosões. Durante a mastigação havia perda de pequena quantidade de capim e saliva pela fenda bucal aumentada. Os animais apresentavam bom estado nutricional. O exame histopatológico de tecido retirado da comissura labial revelou epidermite superficial. Nas quatro propriedades onde se verificou o problema, constatou-se que os eqüinos eram mantidos em sistema extensivo de criação em pastagem de Panicum maximum (variedades Tanzânia, Mombaça, Tobiatã e Colonião), com folhas maduras, altas, lignificadas e de bordos cortantes. De acordo com os dados epidemiológicos, com os achados clínicos e histopatológicos, concluí-se que essas lesões foram causadas pela ação cortante das folhas de Panicum maximum, associada à forma de apreensão da pastagem alta e mastigação pelos eqüinos.

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The objective of this study was to obtain a mathematical equation to estimate the leaf area of Panicum maximum using linear measures of leaf blade. Correlation studies were conducted involving the real leaf area (Sf), the main vein leaf length (C), and the maximum leaf width (L). The linear and geometric equations related to C provided good leaf area estimates. For practical reasons, the use of an equation involving only the C*L product is suggested. Thus, an estimate of P. maximum leaf area can be obtained by the equation Sf = 0.6058 (C*L), with the coefficient of determination R = 0.8586.

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Nicaragua importa semilla de pasto con el objetivo de resolver la baja productividad y calidad del pasto. Las especies Brachiaria brizantha y Panicum maximun, son las semilla de pasto de mayor importación en nuestro país, siendo Brasil el país de donde más importamos. Basados en que existen algunas plagas en Brasil que no existen en Nicaragua, se procedió a realizar un análisis de riesgo de plaga, el cual es una herramienta que permite evaluar la entrada, establecimiento, dispersión y manejo del riesgo de la plaga. Las etapas del análisis de riesgo de plaga; se realizó con la recopilación y análisis de información clave de fuente primaria y secundaria como son la lista de plagas asociadas al cultivo de pasto de Brasil, lista oficial de plagas asociadas al cultivo pasto en Nicaragua, diagnóstico fitosanitario en plantaciones de pasto B. brizantha en Nicaragua y los resultados de laboratorio de las semilla de pasto de origen Brasil que ingresaron por el país en el 2014. Este estudio se realizó en un período de 12 meses de Enero a Diciembre del 2014, en la Región Autónoma del Caribe Sur (RACS), en el municipio de El Rama y dos departamentos Chontales y Rio San Juan en los municipios de La Gateada y San Miguelito respectivamente, ya que son representativos, son las zonas de mayor producción de pasto, y en los doce puesto de cuarentena agropecuaria del territorio nacional, El Guasaule, Puerto Corinto, Aduana Central Aérea, Las Manos, El Espino, Peñas Blancas, Teotecacinte, Aeropuerto Internacional Augusto César Sandino, El Rama, El Bluff, San Carlos y San Juan de Nicaragua, que es donde ingresan las importaciones de semilla de pasto de origen Brasil. El muestreo fue al azar, tanto para el diagnóstico fitosanitario como para las importaciones de semilla de pasto de origen Brasil, tomando muestras para ser analizadas en los laboratorios de herbología, entomología, micología, bacteriología y nematología. El diagnóstico fitosanitario, permitió corroborar la presencia de plagas mencionadas en la lista oficial de plagas asociadas al cultivo pasto en Nicaragua y descartar presencias de plagas cuarentenarias en los pasto de nuestro país. En las semilla de pasto importadas de Brasil, se determino la presencia de plagas de interés cuarentenario como son la maleza Commelina benghalensis y nemátodo de punta blanca Aphelenchoides besseyi. En el análisis de riesgo de plaga, se identificaron siete plagas de interés cuarentenario para la especie B. brizantha y noventa y uno plagas para la especie P. maximun, al evaluar cada plaga por la posibilidad de seguir la vía de entrada, se determinaron dos plagas de importancia cuarentenarias para el área del análisis de riesgo de plagas, como son la maleza Commelina benghalensis L. y nemátodo de punta blanca Aphelenchoides besseyi Ch., ya que son plagas consideradas de alto riesgo fitosanitario debido a la posibilidades de sobrevivir, multiplicarse y diseminarse en el ambiente de Nicaragua una vez introducida en nuevas aéreas establecidas, de acuerdo a la evaluación del riesgo de establecimiento y dispersión; es por eso que en ambas plagas se determinaron las opciones del manejo del riesgo para disminuir a niveles adecuados los riesgo de dichas plagas para nuestro país.

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Dissertação (mestrado)—Universidade de Brasília, Faculdade de Agronomia e Medicina Veterinária, 2016.

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Projected change in forage production under a range of climate scenarios is important for the evaluation of the impacts of global climate change on pasture-based livestock production systems in Brazil. We evaluated the effects of regional climate trends on Panicum maximum cv. Tanzânia production, predicted by agro-meteorological model considering the sum of degree days and corrected by a water availa bility index. Data from Brazilian weather stations (1963?2009) were considered as the current climate (baseline), and future scenarios, based on contrasting scenarios interms of increased temperature and atmospheric CO2 concentrations (high and low increases), were determined for 2013?2040 (2025 scenario) and for 2043?2070 (2055 scenario). Predicted baseline scenarios indicated that there are regional and seasonal variations in P. maximum production related to variation intemperature and water availability during the year. Production was lower in the Northeast region and higher in the rainforest area. Total annual productionunder future climate scenarios was predicted toincrease by up to 20% for most of the Brazilian area, mainly due to temperature increase, according to each climate model and scenario evaluated. The highest increase in forage production is expected to be in the South, Southeast and Central-west areas of Brazil. In these regions, future climate scenarios will not lead to changes in the seasonal production, with largerincreases in productivity during the summer. Climate risk is expected to decrease, as the probability of occurrence of low forage productions will be lower. Due to the predicted increase in temperature and decrease in rainfall in the Northeast area, P. maximum production is expected to decrease, mainly when considering scenarios based on the PRECIS model for the 2055 scenario.

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2016

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The knowledge of the genetic parameters of bromatological traits in forages is essential to support the selection of genotypes that will be released as new cultivars. The objectives of this study were to estimate the heritability coefficients and verify the existence of genetic variability of bromatological traits in Panicum maximum hybrids, evaluated in the Western Amazon in different harvests over the year.

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Simulation of irrigated Thanzania grass growth based on photothermal units, nitrogen fertilization and water availability. The mathematical model to predict the forage yield using photothennal units was utilized with success in Elephant grass, Thanzania and Brachiaria niziziensis in the absence of water stress and nitrogen stress. The aim of this study was to propose models to estimate the forage yield of Thanzania grass under different irrigation (25, 50,75, 100 e 125% of ETc) and nitrogen level in various regions of Brazil. As such, models were developed to estimate the dry matter production of Panicum maximum Jacq. frass cv Thanzania in different irrigation and nitrogen levels, using photothermal units. The models were adjusted to doses of 0, 30, 60, 110 and 270 kg of N ha(-1), doses were divided in applications after each evaluation, with a rest cycle of 35 days. The adjusted model presented good performance in predicting dry matter production of Thanzania grass, with r(2) = 0.9999. The results made it possible to verify that the proposed model can be used to predict forage production in different regions of Brazil. It can be estimated, with good precision. The production of Thanzania grass dry matter can be accurately estimated in specific places (in function of latitude and time of year), with the maximum and minimum temperature values.